App Developer - AI/ML

Collaborate with data scientists and AI/ML engineers to integrate machine learning models into mobile/web platforms and ensure they work seamlessly across multiple devices.

Conduct optimization of AI/ML models for high-performance deployment, reducing latency and enhancing the user experience.

Implement techniques like transfer learning, deep learning, and reinforcement learning to improve model performance and overall system efficiency.

Monitor and troubleshoot deployed AI models within applications to ensure continuous improvement and enhancement.

Contribute to model versioning, model rollback strategies, and performance tuning in production environments.

Work closely with product managers, UX/UI designers, and business teams to ensure AI features align with customer needs and business objectives.

Partner with software engineers, data scientists, and AI architects to align on the architecture, design, and functionality of AI-driven features.

Translate business requirements into technical solutions by applying a deep understanding of AI/ML technologies.

Communicate technical challenges and solutions effectively to non-technical stakeholders and business leaders.

Contribute to brainstorming and ideation sessions for new features or apps that leverage AI/ML technologies.

Stay up-to-date with the latest AI/ML trends, tools, and technologies to ensure the app development process is innovative and competitive.

Experiment with new frameworks, technologies, and AI methods to enhance the functionality and performance of applications.

Regularly evaluate the performance of AI-powered applications and contribute ideas for optimization and future improvements.

Collaborate with the team to resolve any application issues and refine features based on user feedback and testing results.

Contribute to the continuous improvement of development practices by introducing new approaches or optimizing current processes.

Ensure that all AI/ML applications are tested thoroughly and function as intended across all supported platforms (mobile, web, etc.).

Develop unit tests, integration tests, and other quality assurance measures for AI-powered app features.

Debug and resolve issues related to performance, scalability, and security in applications.

Ensure compliance with industry standards and internal guidelines for coding practices, security, and data privacy.

Take ownership of the deployment process, ensuring smooth application launches and versioning management.

3+ years of experience in app development with a strong focus on integrating AI/ML technologies.

Hands-on experience with AI/ML application development, including model integration, real-time inference, and deployment.

Proficient in developing mobile and web applications using modern development frameworks (e.g., React Native, Swift, Kotlin, Django, Flask).

Experience with cloud platforms (AWS, GCP, Azure) and integrating AI models within cloud-native applications.

Experience with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn, with the ability to optimize and scale models in production.

Frontend Technologies – React, Next.js, Vue.js for web apps; Swift/Kotlin for mobile apps.

Backend Development – Node.js, Python (FastAPI, Flask, Django), or Go for API development.

Database Management – NoSQL (MongoDB, Firebase), SQL (PostgreSQL, MySQL).

API Integration – Experience with OpenAI API, Anthropic, Hugging Face, Google Gemini, etc.

Cloud Platforms – AWS (SageMaker, Lambda), Google Cloud (Vertex AI), Azure (OpenAI services).

Containerization & Deployment – Docker, Kubernetes for scalable AI services.

MLOps & CI/CD – GitHub Actions, MLflow, Kubeflow for continuous model integration and monitoring.

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

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